Results 11 to 20 of about 196 (129)

Time-Domain Electromagnetic Noise Suppression Using Multivariate Variational Mode Decomposition [PDF]

Remote Sensing
Noise suppression is essential in time-domain electromagnetic (TDEM) data processing and interpretation. TDEM data are typically in broadband signal, which makes it difficult to separate the signal in the whole frequency band.
Kang Xing, Shiyan Li, Zhijie Qu, Xiaojuan Zhang   +3 more
doaj   +4 more sources

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes [PDF]

Ecological Indicators, 2023
Reference evapotranspiration (ETo) is a vital climate parameter affecting plants' water use. ETo can generate large deficits in soil moisture and runoff in different regions and seasons, leading to uncertainties in drought warning systems.
Mumtaz Ali, Mehdi Jamei, Ramendra Prasad, Masoud Karbasi, Yong Xiang, Borui Cai, Shahab Abdulla, Aitazaz Ahsan Farooque, Abdulhaleem H. Labban   +8 more
doaj   +5 more sources

A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting [PDF]

Scientific Reports
The precise monitoring and timely alerting of river water levels represent critical measures aimed at safeguarding the well-being and assets of residents in river basins.
Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen   +5 more
doaj   +4 more sources

GPR Energy Attribute Slices Based on Multivariate Variational Mode Decomposition and Teager–Kaiser Energy Operator [PDF]

Remote Sensing, 2022
The GPR signals appear nonlinear and nonstationary during propagation. To evaluate the nonstationarity, the empirical mode decomposition (EMD) and its modifications have been proposed to localize the variations of energy and frequency components over ...
Xuebing Zhang, Yuxiang Qin, Zhengkun Hu, Xin Hu, Xuan Feng, Yuan Chai   +5 more
doaj   +2 more sources

Short-Term Photovoltaic Power Generation Prediction Model Based on Improved Data Decomposition and Time Convolution Network [PDF]

Energies, 2023
In response to the volatility of photovoltaic power generation, this paper proposes a short-term photovoltaic power generation prediction model (HWOA-MVMD-TPA-TCN) based on a Hybrid Whale Optimization Algorithm (HWOA), multivariate variational mode ...
Ranran Cao, He Tian, Dahua Li, Mingwen Feng, Huaicong Fan   +4 more
doaj   +2 more sources

Short-Term Load Forecasting for Residential Buildings Based on Multivariate Variational Mode Decomposition and Temporal Fusion Transformer [PDF]

Energies
Short-term load forecasting plays a crucial role in managing the energy consumption of buildings in cities. Accurate forecasting enables residents to reduce energy waste and facilitates timely decision-making for power companies’ energy management.
Haoda Ye, Qiuyu Zhu, Xuefan Zhang
doaj   +2 more sources

Enhanced Deep Representation Learning Extreme Learning Machines for EV Charging Load Forecasting by Improved Artemisinin Optimization and Multivariate Variational Mode Decomposition [PDF]

Energies
The Electric Vehicle (EV) industry is developing rapidly, and EVs are becoming an increasingly important choice for the future of transportation. Therefore, accurately forecasting the electricity demand for EVs is crucial.
Anjie Zhong, Honghai Li, Zhongyi Tang, Zhirong Zhang   +3 more
doaj   +2 more sources

Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition [PDF]

Scientific Reports
The Motor Imagery-Brain Computer Interface (MI-BCI) system is an effective approach for motor neurorehabilitation training and human-machine collaborative control.
Jun Zhi, Qichen Zhang, Yimin Li, Juqin Zhang, Peisen Liu, Jiaofen Nan, Yanting Li, Duan Li   +7 more
doaj   +2 more sources

A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms [PDF]

Sensors
Field verification of contact-type ultrasonic sensors enables rapid evaluation of their sensitivity performance, thereby ensuring the accuracy of partial discharge (PD) ultrasonic monitoring results.
Tienan Cao, Yufei Cui, Haotian Tan, Wei Lu, Fuzeng Zhang, Kai Liu, Xiaoguo Chen, Yifan Chen, Lujia Wang   +8 more
doaj   +2 more sources

Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique [PDF]

Frontiers in Artificial Intelligence
Short-term load forecasting plays a vital role in today's modern life to ensure the balance between energy demand and supply. Dynamic variations in weather and electricity consumption patterns can significantly influence load patterns, resulting in ...
Radhika Chandrasekaran, Senthil Kumar Paramasivan   +1 more
doaj   +2 more sources